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Project

DAIQUIRI - AI to unlock the real potential of sensor data in sports reporting.

Emerging artificial intelligence applications in professional sports based on the use of sensors, wearables and video data offer huge opportunities to innovate live sports reporting, but the code to turn these data sources into attractive and meaningful stories has not yet been cracked. To unleash this potential, DAIQUIRI will develop a media-focused sensor data platform and professional dashboard allowing content creators to augment live sports experiences. DAIQUIRI targets both real-time augmentation of live TV and near-live story snippet inserts in an interactive set-top-box application layer. The project demonstrator will showcase end-to-end sensor data integration for reporting of hockey and cyclocross.  DAIQUIRI will address the current challenges of data tsunami handling,  sensor-video matching and enrichment, insights-driven captation and enable the automated orchestration of multi-modal story snippets through editorial AI algorithms. The consortium covers the full value chain bringing together unique expertise in sports event capturing (Videohouse, NEP), enriched sensor data platform (InTheRace, Arinti, imec-IDLab), editorial tooling and storytelling (VRT) and interactive user experiences in a living room environment (Telenet, imec-MICT).
Date:1 Oct 2019 →  30 Sep 2021
Keywords:INTERNET OF THINGS, ARTIFICIAL INTELLIGENCE (AI)
Disciplines:Wireless communications, Automation, feedback control and robotics
Project type:Collaboration project